Evaluating Compliance of Randomized Controlled Trial Abstracts in Plastic Surgery Journals with CONSORT Guidelines Using GPT-4 AI.

Background: The quality of reporting in randomized controlled trials (RCTs) is crucial for accurate interpretation and synthesis of evidence. The Consolidated Standards of Reporting Trials (CONSORT) guidelines provide a standardized framework for reporting RCT abstracts. This study aimed to evaluate the adherence of RCT abstracts published in three major plastic surgery journals to the CONSORT tool guideline for reporting abstracts, utilizing Generative Pre-trained Transformer 4 artificial intelligence (GPT-4 AI) technology.

A Systematic Review of Questionnaires Assessing Patient Satisfaction in Plastic Surgery: Tools, Topics, and Surgical Types.

Background: Patient satisfaction is crucial for evaluating healthcare services, including plastic surgery. This systematic review aims to analyze questionnaires assessing patient satisfaction in plastic surgery, identifying their strengths and weaknesses to improve outcomes and enhance the quality of care.

Methods: A comprehensive literature search was conducted using electronic databases.

Microvascular Thrombosis in Celiac Disease: Is Free Flap an Option? Case Presentation and Literature Review.

Celiac disease is an autoimmune disease that occurs due to gluten intolerance. The prevalence of breast cancer among celiac disease patients is the same as in the general population. It is of note that breast cancer is the most common type of cancer in women.

Does tranexamic acid effectively minimise blood loss in cleft palate repair? A rigorous assessment through comprehensive systematic review and meta-analysis.

Cleft palate repair is a common reconstructive procedure that can involve significant blood loss. Tranexamic acid (TXA) has been proposed to minimise blood loss during various surgical procedures, but its effectiveness in cleft palate repair remains unclear. This systematic review and meta-analysis aimed to assess the effectiveness of TXA to reduce postoperative blood loss.

Can a Machine Ace the Test? Assessing GPT-4.0's Precision in Plastic Surgery Board Examinations.

Background: As artificial intelligence makes rapid inroads across various fields, its value in medical education is becoming increasingly evident. This study evaluates the performance of the GPT-4.0 large language model in responding to plastic surgery board examination questions and explores its potential as a learning tool.